摘要
Driver behavior plays a critical role in driving safety. Besides alcohol and fatigue, emotion is another factor influencing driver behavior. Thus, the detection of driver emotion can contribute to improve driving safety. In this paper, we use Bayesian Network (BNs) to develop a detection model of driver emotion with electroencephalogram (EEG), which considers two factors of driver personality and traffic situation. The preliminary experiment results suggest that this method is feasible and therefore can be used to provide adaptive aiding.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010 |
| 页 | 1177-1181 |
| 页数 | 5 |
| DOI | |
| 出版状态 | 已出版 - 2010 |
| 活动 | 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010 - Qingdao, 中国 期限: 11 7月 2010 → 14 7月 2010 |
出版系列
| 姓名 | 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010 |
|---|---|
| 卷 | 3 |
会议
| 会议 | 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Qingdao |
| 时期 | 11/07/10 → 14/07/10 |
引用此
Fan, X. A., Bi, L. Z., & Chen, Z. L. (2010). Using EEG to detect drivers' emotion with Bayesian Networks. 在 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010 (页码 1177-1181). 文章 5580919 (2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010; 卷 3). https://doi.org/10.1109/ICMLC.2010.5580919